Volume 3, Number 1, 2004

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  Thomas Bäck, Marc Schoenauer, Lars Willmes: Preface. 1-3
• 
  Cheah C. J. Moey, Jonathan E. Rowe: Population aggregation based on fitness. 5-19
• 
  Jun He, Xin Yao: A study of drift analysis for estimating computation time of evolutionary algorithms. 21-35
• 
  Marco Laumanns, Lothar Thiele, Eckart Zitzler: Running time analysis of evolutionary algorithms on a simplified multiobjective knapsack problem. 37-51
• 
  Natalio Krasnogor, Steven Gustafson: A Study on the use of "self-generation" in memetic algorithms. 53-76
• 
  Stefan Kern, Sibylle D. Müller, Nikolaus Hansen, Dirk Büche, Jiri Ocenasek, Petros Koumoutsakos: Learning probability distributions in continuous evolutionary algorithms - a comparative review. 77-112
• 
  Hang Zhang, Jonathan E. Rowe: Best approximations of fitness functions of binary strings. 113-124

Volume 3, Number 2, 2004

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  Sander M. Bohte, Michiel C. van Wezel, Joost N. Kok: Introduction. 133-134
• 
  Laurent Perrinet: Finding independent components using spikes: A natural result of hebbian learning in a sparse spike coding scheme. 159-175
• 
  Markus Volkmer: A pulsed neural network model of spectro-temporal receptive fields and population coding in auditory cortex. 177-193
• 
  Sander M. Bohte: The evidence for neural information processing with precise spike-times: A survey. 195-206
• 
  Olcay Kursun, Oleg V. Favorov: SINBAD automation of scientific discovery: From factor analysis to theory synthesis. 207-233

Volume 3, Number 3, 2004

• 
  Alessandra Carbone, Chengde Mao, Pamela E. Constantinou, Baoquan Ding, Jens Kopatsch, William B. Sherman, Nadrian C. Seeman: 3D Fractal DNA Assembly from Coding, Geometry and Protection. 235-252
• 
  Max H. Garzon, Russell J. Deaton: Codeword design and information encoding in DNA ensembles. 253-292
• 
  Florentin Wörgötter, Norbert Krüger, Nicolas Pugeault, Dirk Calow, Markus Lappe, Karl Pauwels, Marc M. Van Hulle, Sovira Tan, Alan Johnston: Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing. 293-321
• 
  Stefan Kern, Sibylle D. Müller, Nikolaus Hansen, Dirk Büche, Jiri Ocenasek, Petros Koumoutsakos: Learning Probability Distributions in Continuous Evolutionary Algorithms - a Comparative Review. 355-356

Volume 3, Number 4, December 2004

• 
  Max H. Garzon, John A. Rose: Editorial. 357-359
• 
  Christian Jacob, Ian Burleigh: Biomolecular swarms - an agent-based model of the lactose operon. 361-376
• 
  Mitsunori Takano, Junichi Higo, Hironori K. Nakamura, Masaki Sasai: On the model granularity to simulate protein dynamics: A biological physics view on biomolecular computing. 377-393
• 
  Danny van Noort, John S. McCaskill: Flows in micro fluidic networks: From theory to experiment. 395-410
• 
  John A. Rose, Akira Suyama: Physical modeling of biomolecular computers: Models, limitations, and experimental validation. 411-426
• 
  Derrel Blain, Max H. Garzon, Soo-Yong Shin, Byoung-Tak Zhang, Satoshi Kashiwamura, Masahito Yamamoto, Atsushi Kameda, Azuma Ohuchi: Development, evaluation and benchmarking of simulation software for biomolecule-based computing. 427-442
• 
  John A. Rose, Russell J. Deaton, Akira Suyama: Statistical thermodynamic analysis and designof DNA-based computers. 443-459
• 
  Max H. Garzon, Derrel Blain, Andrew Neel: Virtual test tubes. 461-477

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